Semantic Context Path Labeling for Semantic Exploration of User Reviews

Salah Aït-Mokhtar, Caroline Brun, Yves Hoppenot, Agnes Sandor


Abstract
In this paper we present a prototype demonstrator showcasing a novel method to perform semantic exploration of user reviews. The system enables effective navigation in a rich contextual semantic schema with a large number of structured classes indicating relevant information. In order to identify instances of the structured classes in the reviews, we defined a new Information Extraction task called Semantic Context Path (SCP) labeling, which simultaneously assigns types and semantic roles to entity mentions. Reviews can rapidly be explored based on the fine-grained and structured semantic classes. As a proof-of-concept, we have implemented this system for reviews on Points-of-Interest, in English and Korean.
Anthology ID:
2021.emnlp-demo.13
Volume:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Month:
November
Year:
2021
Address:
Online and Punta Cana, Dominican Republic
Editors:
Heike Adel, Shuming Shi
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
106–113
Language:
URL:
https://aclanthology.org/2021.emnlp-demo.13
DOI:
10.18653/v1/2021.emnlp-demo.13
Bibkey:
Cite (ACL):
Salah Aït-Mokhtar, Caroline Brun, Yves Hoppenot, and Agnes Sandor. 2021. Semantic Context Path Labeling for Semantic Exploration of User Reviews. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 106–113, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
Cite (Informal):
Semantic Context Path Labeling for Semantic Exploration of User Reviews (Aït-Mokhtar et al., EMNLP 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.emnlp-demo.13.pdf
Video:
 https://aclanthology.org/2021.emnlp-demo.13.mp4